首页|期刊导航|化工矿物与加工|基于对数比变换和分形模型的地球化学异常识别与提取

基于对数比变换和分形模型的地球化学异常识别与提取OA

Identification and extraction of geochemical anomalies based on log-ratio transformation and fractal model:a case study of Gejiu tin polymetallic deposit area in Yunnan province

中文摘要英文摘要

覆盖区弱缓异常识别与靶区圈定,是矿产勘查的难点.云南个旧锡多金属矿集区50%以上面积被晚三叠统个旧组灰岩覆盖,属于典型老矿山,有必要开展新一轮找矿工作.本文以个旧锡多金属矿集区为研究对象,利用1∶20万水系沉积物数据,分别进行对数比变换、因子分析、S-A分析和靶区圈定.结果表明:加性对数比变换增强了因子分析的地质解释性,因子F1和F2的元素组合分别代表了酸性岩浆热液高-中-低温叠加的Sn矿化和基性岩浆体系的Cu矿化特征;S-A分析得到的异常区与个…查看全部>>

The identification of weak and gradual anomalies in the coverage area and the delineation of target areas are the difficulties in mineral exploration.More than 50%of the Gejiu tin polymetallic deposit area in Yunnan is covered by Late Triassic Gejiu Formation limestone,which is a typical old mine and requires a new round of explora-tion work.This article takes the Gejiu tin polymetallic deposit as the research object,and uses 1∶200 000 water sedi-ment data t…查看全部>>

李壮

昆明理工大学 国土资源工程学院,云南 昆明 650093

地质学

分形对数比变换因子分析地球化学异常识别个旧锡矿潜在靶区

fractallogarithmic ratio transformationfactor analysisgeochemistryabnormal recognitionGejiu Tin Minepotential target area

《化工矿物与加工》 2024 (10)

61-73,13

昆明理工大学引进人才基金项目(KKZ3202021050).

10.16283/j.cnki.hgkwyjg.2024.10.009

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